Senior AI/ML Engineer – Salesforce
3 days ago
Job Description – Senior AI/ML Engineer (Salesforce & Generative AI)Experience: 5-7 yearsLocation: Noida (On-Site)Job SummaryWe are seeking a highly skilled AI/ML Engineer with deep Salesforce expertise to design and deploy intelligent, scalable, and secure AI-driven solutions across the Salesforce ecosystem. The ideal candidate will build smart automation, personalized recommendations, generative AI copilots, RAG pipelines, and intelligent Salesforce applications using Einstein, Einstein GPT, Apex, LWC, Python-based ML services, and LLM technologies. This role blends Salesforce engineering + advanced AI/ML development, driving next-generation CRM intelligence.Key ResponsibilitiesSalesforce Development & CustomizationDesign, develop, test, and deploy scalable Salesforce applications aligned with business and product requirements.Extend platform capabilities using Apex (Triggers/Classes), LWC, Aura, Visualforce, Flows, and Salesforce APIs.Build high-performance, secure, and user-friendly Salesforce components and custom applications.AI/ML Development & Generative AI IntegrationDevelop, train, and deploy AI/ML models for scoring, forecasting, intent detection, recommendation engines, and workflow automation.Integrate ML solutions with Salesforce using Einstein, Einstein GPT, Apex integrations, Python-based APIs, and cloud AI services (AWS/Azure/GCP).Build Retrieval-Augmented Generation (RAG) pipelines using vector databases and LLMs for deep contextual insights inside Salesforce.Develop GenAI-driven bots, Einstein Bots, copilots, and intelligent assistants for sales, service, and support workflows.Build and optimize enterprise-grade pipelines for text, email, chat, CRM records, and knowledge base data.Architecture, DevOps & PerformanceLead end-to-end CI/CD using Git, Copado, Jenkins, Azure DevOps, or GitLab.Ensure production-ready scalability, performance, and monitoring of AI/ML-enabled Salesforce applications.Implement secure data flows adhering to best practices in governance, compliance, and data protection.Maintain model accuracy and relevancy with continuous evaluation, fine-tuning, and feedback loops.Collaboration & InnovationPartner with cross-functional teams (Product, Data Engineering, CRM, Business) to identify and deliver AI-powered enhancements.Research and experiment with cutting-edge Transformers, LLMs, multimodal AI, and enterprise AI tools.Drive innovation by proposing new intelligent automation features and AI-first improvements within Salesforce.Must-Have SkillsBachelor’s degree in Computer Science, Information Systems, Statistics, or equivalent.Strong expertise in AI/ML model development, training, and deployment.Experience implementing AI/ML solutions inside Salesforce using: ✔ Einstein / Einstein GPT ✔ External Python ML APIs ✔ Cloud ML platforms (AWS, Azure, GCP)Strong understanding of Generative AI, including: ✔ LLMs & Transformers ✔ Embeddings ✔ RAG pipelines ✔ Vector DatabasesProficiency in Salesforce development: Apex, LWC, Aura, APIs, Data integrations.Strong problem-solving and analytical skills with experience in cross-functional team collaboration.Good to HaveSalesforce Certifications: AI Associate, Admin, Platform Developer I/II.Experience with MLOps tools (MLflow, SageMaker, Azure ML Studio).Hands-on with DevOps/CI/CD tools: Copado, GitLab CI, Jenkins, Azure DevOps.Experience with Conversational AI, Chatbots, or Multi-Agent AI workflows.
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Senior AI/ML Engineer – Salesforce
2 days ago
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